# Utilizing Multi-omics to Facilitate Cancer Biology Research

> **NIH NIH R50** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2023 · $233,631

## Abstract

Project Summary
As a member of the E. Alejandro Sweet-Cordero laboratory my efforts are directed at executing the
computational aspects of the grants, manuscripts, and the general goals of the lab as well as mentoring other
lab members. The goals of our projects are to study the mechanism of cancer progression and obtain clinically
relevant insights for pediatric and adult solid tumors. The R50 NCI Research Specialist Award would provide
me with the necessary funds to continue to further develop my computational tools and ongoing support for
the following NCI-funded projects: (1) Development of Advanced Preclinical Models for Pediatric Solid Tumors
(R01CA243555). There are three main goals to this project: a) verify that matched patient tissue and patient-
derived xenografts (PDX) or PDX-derived cell lines are transcriptionally and molecularly similar; b) utilize high-
throughput analyses to nominate drug targets for testing, and c) study drug resistance using single-cell
RNAseq technologies. (2) Development of Novel Protein-based Therapeutics for Lung Cancer
(R01CA225103). The main goals of this grant are to understand the biology of CLCF1-CNTFR as it relates to
adult lung cancer and evaluate the synergistic outcomes of the engineered “decoy” CNTFR receptor
(eCNTFR) with other compounds (e.g., eCNTFR+ PDL1 checkpoint inhibitor). (3) Investigate the Role of Long
Non-coding RNAs (lncRNA) in Sarcoma Pathogenesis (R01CA211657). The goals of this grant are to
elucidate the role of lncRNA EWSAT1/2 in chromatin remodeling at EWS-FLI repressed enhancer sites,
utilizing ChIRP-Seq and ATACseq. Other lncRNAs revealed from a prior lncRNA CRISPR-mediated
interference screen will also be investigated for their role in Ewing Sarcoma using both in vitro and in vivo
models. My ongoing efforts to develop software and computational pipelines will not only go toward the goals
of these NCI grants but also align with my long-term career goals and benefit the broader cancer research
community.

## Key facts

- **NIH application ID:** 10733768
- **Project number:** 1R50CA274213-01A1
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Alex Lee
- **Activity code:** R50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $233,631
- **Award type:** 1
- **Project period:** 2023-08-01 → 2028-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10733768

## Citation

> US National Institutes of Health, RePORTER application 10733768, Utilizing Multi-omics to Facilitate Cancer Biology Research (1R50CA274213-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10733768. Licensed CC0.

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